Abstract
On the eve of exascale computing, traditional wisdom no longer applies. High-performance computing is gone as we know it. This article discusses a range of new algorithmic techniques emerging in the context of exascale computing, many of which defy the common wisdom of high-performance computing and are considered unorthodox, but could turn out to be a necessity in near future.
Original language | English |
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Article number | 7914608 |
Pages (from-to) | 52-62 |
Number of pages | 11 |
Journal | Computing in Science and Engineering |
Volume | 19 |
Issue number | 3 |
DOIs | |
State | Published - May 1 2017 |
Externally published | Yes |
Funding
We thank the US Department of Energy, Exascale Computing Project (ECP); the National Science Foundation; and the Russian Federation for sponsoring this work.
Keywords
- High-performance computing
- algorithms
- autotuning
- exascale
- scheduling
- scientific computing